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117 results for “Image Fusion”

Research Article Open Access Palmprint Recognition Using Pre-Trained Convolutional Neural Networks
Nader Ebrahimpour, Ebrahimpour N, Faruk Baturalp Günay, Günay F
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.018

Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…

Research Article Open Access Üretken Çekişmeli Ağ Kullanarak Eski Görüntüleri Renklendirme ve İyileştirme
Arda Cem Bilecan, Bilecan A, Simay Hoşmeyve, Hoşmeyve S, Bahadır Karasulu, Karasulu B
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.008

Günümüzde derin öğrenme alanı için veri, çalışma sonuçlarının başarı oranı için büyük önem taşımaktadır. Bu ihtiyaca yönelik olarak görüntü işleme konusunda yapabileceğimiz iyileştirmeler ile daha kaliteli ve eksiksiz görüntüler elde etmek ve eski verilerde ka…

Research Article Open Access A Comparative Study of Quantitative Image Analyze and X-Ray Diffraction Methods for Carbide Amount in composite coatings on steel
Koray Kılıçay, Kılıçay K, Esad Kaya, Kaya E, İsmail  Bayar , Bayar  İ, Mustafa Ulutan, Ulutan M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Carbides change highly effective on the mechanical and tribological properties of the coatings. For this reason, it is very important to determine the carbide ratio in the microstructure correctly. Researchers mostly try to determine phase ratios by optical im…

Review Open Access Examination of Image Processing Studies and Techniques in Food Sector: A Literature Review
Tolga Hayıt, Hayıt T, Hasan Erbay, Erbay H, Fatma Hayıt, Hayıt F
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

In our global World, studies on food and food related-sectors, which are among the leading sectors in Turkey, continue to gain momentum to increase productivity and quality. In parallel, the developments in the information technology motivate researchers to ga…

Review Open Access Data Sets and Software Libraries Used for Deep Learning
Özkan İnik, İnik Ö, Erkan Ülker, Ülker E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

Research Article Open Access A Deep Learning Framework for the Identification of Distinct Stages in Diabetic Retinopathy through Retinal Image Analysis
A.D.P. Rupasinghe, Rupasinghe A, K.G. Samarawickrama, Samarawickrama K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.3.001

Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …

Research Article Open Access Soğuk İklim Bölgelerinde Çocuk Oyun Alanı Tasarım Kriterlerinin Belirlenmesi
Ali Can Kuzulugil, Kuzulugil A, Başak Aytatlı, Aytatlı B
5th Symposium on Innovation in Architecture, Planning and Design 2023 https://doi.org/10.36287/setsci.6.2.0036

Doğa her mevsim çocukların fiziksel aktivite, deney, keşfetme ve yönetme konusundaki temel ihtiyaçlarını teşvik etmektedir. İyi bir açık hava oyun alanı çocukların gelişim ihtiyacını karşılamalıdır. Çocuk oyun alanları tasarımlarında  farklı ihtiyaçlara, farkl…

Research Article Open Access CNN Hyperparameters Optimization Using Random Search For Image Classification
Dala KRAYEM, KRAYEM D, Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.007

In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…

Research Article Open Access Frontal human face detection using skin detection,face matching and haarcascade
Boshra Alsheikh  Wais  , Wais   B, Hasan  Erbay  , Erbay   H
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Human face detection one of the most important fields that attract searches since a long time ago until now because of the huge number of applications that benefit from face detection and recognition like crowd surveillance, Attendance System, ATM and other. I…

Research Article Open Access Gait Recognition using RGB-D Camera for Player Labeling
Yilmaz Atay, Atay Y, Agusta    Wicaksono, Wicaksono A, Ahmet  Arslan  , Arslan   A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…

Research Article Open Access A Performance Analysis of Extreme Learning Machine on Skin Segmentation Dataset
Ayşenur  Uzun  , Uzun   A, Eda Çapa  Kızıltaş  , Kızıltaş   E, Ersen  Yılmaz  , Yılmaz   E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…

Research Article Open Access Kablosuz Sensör Ağlarında Görüntü İletiminde Veri Tasarruflu İletim Katmanı Oluşturulması
Cebrail    Ciflikli, Ciflikli C, Kadir    Aba, Aba K
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Kablosuz Sensör Ağları, sürekli olarak çevreden topladıkları bilgileri ana ana düğüme oradan da sunucu veya ana toplayıcıya göndermektedirler. Ağ yapısı büyüdükçe ağ içerisinde meydana gelen veri transferinin boyutu da ciddi artış göstermektedir. Eğer ağda res…

Research Article Open Access Object Recognition System Based on Oriented FAST and Rotated BRIEF
Majeed A. Mohsin  ABDULMAJEED, ABDULMAJEED M, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an object recogni…

Research Article Open Access Art and Social Life in Urban Public Spaces
Fatih Şahin, Şahin F, Cengiz Tavşan, Tavşan C
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

From the time that humans first started to live in a settled way, the effect of public places (as the common space for the people from every section of the community) on communications with their surroundings, and the need to meet the main requirements, have…

Research Article Open Access Öğrenci Deneyimlerine Göre Kentsel Mekanın Zihinsel İmgesi
Naime Dilge Mutlu, Dilge Mutlu N
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Bir kentsel mekan, farklı bireylerde farklı algılar uyandırmakta; zihinde oluşturulan mekansal imge, mekanı kullanan bireyin kentsel mekanda oluşturdu u anı e kişisel deneyimine ba lı olarak de işmektedir er birey, kentsel mekana ilişkin kendi imgesini yarat…

Research Article Open Access Supervised Image Classification Methods For Extracting ManMade Objects From High Resolution Remotely Sensed Imagery
Serhat Şenses, Şenses S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…

Research Article Open Access The Pantheon: Architecture of the Divine Light and Shadow
Milind Ashok Kamble, Kamble M, Preksha Gupta, Gupta P
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.27.001

Few ancient structures inspire spiritual reverence and architectural awe like the Roman Pantheon. Designed as a temple and a cosmological instrument, the Pantheon depicts how Roman architects transformed daylight into a divine symbol. This paper examines the s…

Research Article Open Access Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001

Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …

Research Article Open Access Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay, Azdavay N, Zofia G. Zajac, Zajac Z, Hakan M.  Didis, Didis H, Ilayda Boz, Boz I
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.2.006

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…

Research Article Open Access Integrating UAVs and YOLO Deep Learning for Early-Stage Forest Fire Detection
Hakan Mert Didis, Didis H, Firuze  Adibeli, Adibeli F, Ilayda  Boz, Boz I, Nesli S.  Azdavay, Azdavay N
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.3.012

The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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